Published inData Science at MicrosoftToward learning-capable LLM agentsPresenting the concept and design principles behind developing LLM agents that possess the capability to learnApr 161Apr 161
Published inData Science at MicrosoftForget RAG: Embrace agent design for a more intelligent grounded ChatGPT!The Retrieval Augmented Generation (RAG) design pattern has been commonly used to develop a grounded ChatGPT in a specific data domain…Nov 18, 202321Nov 18, 202321
Published inData Science at MicrosoftAutomating data analytics with ChatGPTAs an AI language model, ChatGPT is becoming well known for its ability to generate text-based responses to given prompts and contextual…Jul 4, 20236Jul 4, 20236
Published inAnalytics VidhyaTeaching Machine Learning System Efficiently with Active LearningMar 29, 20221Mar 29, 20221
Implementing Many Models at Scale with Spark 3.x (Databricks/Synapse) and Azure MLThere are many scenarios where we need to build and run a large number of machine learning models. For examples: in Retail where a separate…Jun 23, 20211Jun 23, 20211
Best practices in Enterprise Data Science governance in AzureNow that your enterprise data science is on Azure, you can take advantage of cloud agility and a set of great tools to improve development…Feb 19, 2021Feb 19, 2021
Directly Reading Delta Lake Data from Azure SynapseAzure Databricks and Azure Synapse Analytics are two flagship big data solutions in Azure. Many customers use both solutions. Databricks…Oct 4, 20203Oct 4, 20203
Published inAnalytics VidhyaLeveraging Spark for Large Scale Deep Learning Data Preparation and InferencingWhile it has been been know training a Deep Learning model requires lots of data to produce good result, rapidly growing business data…Sep 16, 20192Sep 16, 20192
